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电信和无线电工程

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ISSN 在线: 1943-6009

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PREDICTION OF SIGNAL DENOISING EFFICIENCY FOR DCT-BASED FILTER

卷 78, 册 13, 2019, pp. 1129-1142
DOI: 10.1615/TelecomRadEng.v78.i13.10
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摘要

Signals acquired by different sensors are often noisy and are subject to filtering aimed to reduce noise and preserve important information. Although a great number of different filters exist, their performance does not always satisfy users. There are practical situations when denoising does not lead to expected positive effect which makes it useless. In this paper, we show that a denoising efficiency can be predicted for DCT-based filters. This can be accurately done by an analysis of statistics of DCT-coefficients in a limited number of blocks without execution of denoising itself. Peculiarities of preliminary analysis needed to carry out prediction are discussed. It is shown that a prediction is able to perform well for a wide range of signals and signal-to-noise ratios.

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对本文的引用
  1. Oliinyk Viacheslav, Lukin Vladimir, Time Delay Estimation for Noise-Like Signals Embedded in Non-Gaussian Noise Using Pre-filtering in Channels, 2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET), 2020. Crossref

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